Data Wrangling
Skills needed to be a Data Engineer
A data engineer develops and constructs data products and services, and integrates them into systems and business processes. https://ddat-capability-framework.service.gov.uk/role/data-engineer You will need the following skills for this role, although the level of expertise for each will vary, depending on the role level. Data Engineer A data engineer delivers the designs set by more senior members … Read more
Skills needed to be a data scientist
Data science is a broad and fast-moving field spanning maths, statistics, software engineering and communications. Data scientists will often work as part of a multidisciplinary team, using data and analytics to inform and achieve organisational goals. In this role, you will: be inquisitive explore and visualise data make recommendations to address complex problems and to … Read more
Skills needed to be a Data Analyst
A data analyst collects, organises and studies data to provide business insight. https://ddat-capability-framework.service.gov.uk/role/data-analyst In this role, you will: You will need the following skills for this role, although the level of expertise for each will vary, depending on the role level.
Data Architecture
A data architecture is the foundation of any data strategy. It is the “how” when implementing a data strategy. In this article, we’ll look at: Business agility Data architecture Architecture components Data standards The shift to new architecture Data schemas The architecture is responsible for setting the data standards that define what kinds of data will … Read more
Data Wrangling
Data wrangling—also called data cleaning, data remediation, or data munging—refers to a variety of processes designed to transform raw data into more readily used formats. The exact methods differ from project to project depending on the data you’re leveraging and the goal you’re trying to achieve. Some examples of data wrangling include: Data wrangling can be a manual … Read more
The Data Warehouse Lifecycle Toolkit
Expert Methods for Designing, Developing and Deploying Data Warehouses